"COVID-19 pandemic in mainland China" from_date:2012

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                            1
                            2025BMC Psychiatry
                             = 0.138; SE = 0.039; P < 0.001; indirect association: a*b = 0.037; P < 0.001; the proportion of mediation: 20.88%, P < 0.001). The findings of this repeated cross-sectional study suggest that an increased risk of depression symptoms or bullying victimization has been associated with the COVID-19 pandemic in mainland China after lifting the dynamic zero-COVID-19 policy. In addition, bullying
                            2
                            2024BMC Public Health
                            the daily air quality and online search volumes of allergic rhinitis in Beijing. We extracted the online search data of allergic rhinitis-related keywords from the Baidu index database from January 23, 2017 to June 23, 2022. We analyzed and compared the temporal distribution of online search behaviors across different themes of allergic rhinitis before and after the COVID-19 pandemic in mainland China
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                            3
                            2023Journal of Affective Disorders
                            with a total of 10,388 health professionals were conducted in different stages (2020-2022) of the COVID-19 pandemic in mainland China. Participants completed the Chinese version of the Moral Injury Symptoms Scale-Health Professional, Post-Traumatic Stress Disorder (PTSD) Checklist for DSM-5 coupled with a blanket of scales. The prevalence of SI and MI among health professionals was 9.8 % and 40.2 
                            4
                            2023Journal of Affective Disorders
                            by a large-scale psychological helpline in response to the COVID-19 pandemic in mainland China. Counselor-reported information about the help-seekers pandemic-related emotional responses and psychiatric symptoms were recorded. A total of 26,870 callers' data from February 28, 2020, to April 23, 2021, were collected in the present study. A linear probability model and network analysis were conducted
                            5
                            , indicated a significant spatial association of COVID-19 infections from around 22 January 2020. Spatial analysis is of great help in understanding the spread of infectious diseases, and spatial association was the key to the spatial spread during the early stages of the COVID-19 pandemic in mainland China.